The onset of molecular damage makes age-related weakness and serious diseases worse. Some people grow faster than others because of the more intense their molecular processes.
Fortunately, employing computational models of aging can help identify an accelerated rate of aging before its devastating effects become apparent (aging clocks). These models can be used to generate anti-aging treatments for both individuals and populations.
One study found that the onset of molecular damage worsens age-related weakness and serious diseases. Some people grow faster than others because of the more intense their molecular processes. The authors of the article conclude that the psychological aspect of aging should not be neglected, either in research or in practical anti-aging applications.
According to Manuel Faria of Stanford University, “Mental and psychosocial status are some of the strongest predictors of health outcomes – and quality of life – yet they have been largely superseded by modern health care.” The study provides a plan of action to “slow down” or perhaps even reverse psychological aging on a national scale, according to Alex Zhavoronkov, CEO of Insilico Medicine.
An AI-guided mental health web service called FuturSelf.AI, introduced by Deep Longevity earlier this year, is based on an earlier article by Aging-US. The service gives a free psychological assessment which is controlled by AI and generates a detailed report on the psychological age of the user as well as their current and future mental health.
“FutureSelf.AI, in conjunction with studies of older Chinese adults, puts DeepLongevity at the forefront of biogerontological research,” says DeepLongvity CEO Dipankar Nayak.